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IICAI
2007
13 years 9 months ago
Modeling Temporal Behavior via Structured Hidden Markov Models: an Application to Keystroking Dynamics
Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
Ugo Galassi, Attilio Giordana, Charbel Julien, Lor...
JUCS
2008
135views more  JUCS 2008»
13 years 7 months ago
Approximation to a Behavioral Model for Estimating Traffic Aggregation Scenarios
: This article provides a comparison among different methods for estimating the aggregation of Internet traffic resulting from different users, network-access types and correspondi...
Alberto E. Garcia, Klaus D. Hackbarth
IJKESDP
2010
94views more  IJKESDP 2010»
13 years 4 months ago
Rule acquisition for cognitive agents by using estimation of distribution algorithms
Cognitive Agents must be able to decide their actions based on their recognized states. In general, learning mechanisms are equipped for such agents in order to realize intellgent ...
Tokue Nishimura, Hisashi Handa
CVPR
2007
IEEE
14 years 9 months ago
Joint Object Segmentation and Behavior Classification in Image Sequences
In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial fo...
Laura Gui, Jean-Philippe Thiran, Nikos Paragios
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 3 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...